matlab

车辆类型识别，简单的车辆模型识别技术，通过交通灯来检测一条道路上车辆的多少(trafficpatterns- a simple model of vehicular traffic on four roads all leading to an intersection controlled by a traffic light. It turns green for each of the four paths with specified durations. Tweak the traffic light durations to study how much traffic builds up on the different paths.)

boost converter powereletronics

基于直线特征的slam机器人定位算法实现和优化。(Slam robot localization algorithm based on linear feature implementation and optimization.)

说明：  东华大学机器学习核密度估计大作业 第一部分是一个三维的彩色KDE估计图（最好用MATLAB画）；第二部分是测试图片的运动目标二值图像检测结果（运动员用白色像素，背景用黑色）(Big assignment of kernel density estimation for machine learning in Donghua University The first part is a three-dimensional color KDE estimation map (preferably drawn with Matlab); the second part is the detection result of the moving target binary image of the test image (athletes use white pixels, background use black))

该程序实现了基于小波模极大值，阈值去噪算法，并比较了各种方法的去噪效果。(The program achieved a de-noising based on wavelet modulus maxima algorithm, and effectively removes the signal in Gaussian white noise.)

Chevyshev algoritmo de filtro

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).

高阶WENO格式计算偏微分方程，内含注释，方便理解。(Higher-order partial differential equations to calculate WENO format, containing comments.)

利用互相关法进行单目标的时延定位，并给出仿真结果(Cross-correlation method using a single target latency positioning, and simulation results)

Wavelet Subband coding for speaker recognition The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.(Wavelet Subband coding for speaker recognitionThe fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. The fn also calculates the DCT part. Using this fn and other algo for pattern classification (VQ, GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.)